Showing all 9 Publications linked to the linkedup project

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LinkedUp

Linking Web Data for Education Project - Open Challenge in Web-scale Data Integration

LinkedUp aims to push forward the exploitation of the vast amounts of public, open data available on the Web, in particular by educational institutions and organizations.

This will be achieved by identifying and supporting highly innovative large-scale Web information management applications through an open competition (the LinkedUp Challenge) and dedicated evaluation framework. The vision of the LinkedUp Challenge is to realise personalised university degree-level education of global...


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Mouromtsev, D. and d'Aquin, M. (eds.) (2016) Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, Springer

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d'Aquin, M. (2016) On the Use of Linked Open Data in Education: Current and Future Practices Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, eds. Dmitry Mouromtsev and Mathieu d'Aquin

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Zerr, S., d'Aquin, M., Marenzi, I., Taibi, D., Adamou, A. and Dietze, S. (2014) Towards Analytics and Collaborative Exploration of Social and linked Media for Technology-Enchanced Learning Scenarios, Workshop: 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data (PROFILES 2014), Heraklion, Greece, 1151, 3, CEUR-WS

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d'Aquin, M., Dietze, S., Drachsler, H., Guy, M., Herder, E. and Parodi, E. (2014) Building the Open Elements of an Open Data Competition, D-Lib Magazine, 20, 5/6

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Domingue, J., d'Aquin, M., Simperl, E. and Mikroyannidis, A. (2014) The Web of Data: Bridging the Skills Gap, IEEE Intelligent Systems, 29, 1, pp. 70-74

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Jay, N. and d'Aquin, M. (2013) Linked Data and Online Classifications to Organise Mined Patterns in Patient Data, AMIA Annual Symposium

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d'Aquin, M., Adamou, A. and Dietze, S. (2013) Assessing the Educational Linked Data Landscape, ACM Web Science 2013, Paris, France

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d'Aquin, M. and Jay, N. (2013) Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case Study and Direction, International Learning Analytics & Knowledge Conference, LAK 2013

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, d'Aquin, M. and Dietze, S. (2013) Linked Data for Science and Education (Editorial), Semantic Web Journal, Special issue on Linked Data for Science and Education, 4, 1

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